Researcher, Iranian Forest and Rangeland Research Institute, Iran
Sahar Heidari Masteali is a distinguished environmental engineer and researcher specializing in natural resources and environmental evaluation. Born in 1987, she earned her Bachelor’s, Master’s, and PhD degrees in Natural Resources Engineering from Ferdowsi University of Mashhad and University of Tehran, Iran. With a passion for environmental sustainability, Sahar has contributed significantly to research in landscape evaluation, water quality, and biodiversity. She has authored numerous scientific articles published in prestigious journals and participated in various research projects. Sahar is recognized for her expertise in software tools such as ArcGIS, SPSS, and R. She is also an active member of the National Elite Foundation and a winner of multiple awards, including the Shahid Tehrani Moghadam Award in 2023.
Publication Profile
Google Scholar
š Education
PhD: Natural Resources Engineering – Environmental Evaluation, University of Tehran, Iran (2022). Master’s: Natural Resources Engineering – Environmental Evaluation, University of Tehran, Iran (2014). Bachelor’s: Environmental Natural Resources Engineering, Ferdowsi University of Mashhad, Iran (2009) Sahar achieved outstanding academic success, ranking first in national exams for both Master’s and PhD admissions. Her thesis work has focused on environmental modeling and landscape evaluation, contributing to her expertise in environmental sustainability.
š¼ Experience
Sahar’s experience includes key research roles in various environmental projects. She has worked on ecological vulnerability assessments, environmental degradation models, and biodiversity studies. She collaborated with the University of Tehran and other research institutes on projects focused on forest management, ecological restoration, and the effects of tourism on ecosystems. Sahar’s proficiency with GIS, statistical analysis, and modeling software has enabled her to contribute to impactful projects in environmental protection and sustainable resource management.
š Awards & Honors
Shahid Tehrani Moghadam Award (2023) from the National Elite Foundation. Master’s Entrance Exam Rank 1. PhD Specialized Exam Rank 1. Winner of various academic honors, including a research excellence award in 2015 and funding for numerous research projects. Member of the National Elite Foundation Sahar’s academic excellence and contributions to environmental research have earned her recognition, including prestigious national awards and honors in the field of environmental sciences.
š¬ Research Focus
Saharās research interests lie in environmental evaluation, modeling the effects of landscape corridors on water quality, and biodiversity in natural forests. She has studied the impact of forest connectivity on river water quality and has developed models for assessing ecological vulnerability. Sahar also explores the intersection of biotic and abiotic factors in forest ecosystems, applying machine learning for biodiversity assessments. Her work aims to improve sustainable land use practices and ecological conservation, focusing on landscapes in the Caspian Sea Basin and northern Iran.
Conclusion
Sahar Heidari Masteali is a highly deserving candidate for the Women Researcher Award due to her significant contributions to environmental research and her leadership in sustainable solutions. With her continued growth in international collaboration and research visibility, she is poised to make an even more profound impact in her field. The award would not only recognize her exceptional achievements but also encourage the further development of her valuable contributions to environmental sciences.
Publication Top Notes
- Title: Estimation of tree heights in an uneven-aged, mixed forest in northern Iran using artificial intelligence and empirical models
Authors: M Bayat, P Bettinger, S Heidari, A Henareh Khalyani, M Jourgholami, …
Journal: Forests
Volume & Issue: 11 (3), 324
Year: 2020
- Title: Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple linear regression, and empirical models
Authors: M Bayat, P Bettinger, M Hassani, S Heidari
Journal: Forestry: An International Journal of Forest Research
Volume & Issue: 94 (4), 598-609
Year: 2021
- Title: A combination of biotic and abiotic factors and diversity determine productivity in natural deciduous forests
Authors: M Bayat, P Bettinger, S Heidari, SK Hamidi, A Jaafari
Journal: Forests
Volume & Issue: 12 (11), 1450
Year: 2021
- Title: Assessing biotic and abiotic effects on biodiversity index using machine learning
Authors: M Bayat, H Burkhart, M Namiranian, SK Hamidi, S Heidari, M Hassani
Journal: Forests
Volume & Issue: 12 (4), 461
Year: 2021
- Title: Evaluation and comparison of biodiversity indexes of tree species in Hyrcanian forests (case study: Kheyroud, Ramsar and Neka forests)
Authors: S Heidari Masteali
Journal: Journal of Plant Research (Iranian Journal of Biology)
Volume & Issue: 34 (2), 315-326
Year: 2021
- Title: Modeling tree growth responses to climate change: a case study in natural deciduous mountain forests
Authors: M Bayat, T Knoke, S Heidari, SK Hamidi, H Burkhart, A Jaafari
Journal: Forests
Volume & Issue: 13 (11), 1816
Year: 2022
- Title: Comparison between graph theory connectivity indices and landscape connectivity metrics for modeling river water quality in the southern Caspian sea basin
Authors: Sahar Heidari, Pete Bettinger, Mahmoud Bayat, Bahman Jabbarian
Journal: Journal of Environmental Management
Volume & Issue: 328
Year: 2023
- Title: Projection matrix models: a suitable approach for predicting sustainable growth in uneven-aged and mixed Hyrcanian forests
Authors: A Salehnasab, HE Burkhart, M Bayat, B Khaleghi, S Heidari, …
Journal: Sustainability
Volume & Issue: 14 (11), 6777
Year: 2022
- Title: Investigating the spatial distribution of parks and urban green space areas in Khomein using landscape approach and Sentinel-2 satellite images
Authors: M Bagheri, A Ansari, A Kazemi, M Bayat, S Heidari Masteali
Journal: Scientific-Research Quarterly of Geographical Data (SEPEHR)
Volume & Issue: 30 (118), 203-216
Year: 2021
- Title: Effects of different concentrations of nitrate and ammonium in medium on growth of the green algae Scenedesmus quadricauda
Authors: S Heidari, O Farhadian, NM Soofiani
Journal: Journal of Fisheries
Volume & Issue: 64 (1)
Year: 2011
- Title: Recreation potential assessment at Tamarix forest reserves: A method based on multicriteria evaluation approach and landscape metrics
Authors: M Bayat, P Bettinger, SH Masteali, SK Hamidi, HU Masood Awan, …
Journal: Forests
Volume & Issue: 14 (4), 705
Year: 2023
- Title: Ten-year estimation of Fagus orientalis Lipsky increment using artificial neural networks model and multiple linear regression Ramsar forests
Authors: M Bayat, M Hassani, S Heidari
Journal: Forest Research and Development
Volume & Issue: 6 (3), 381-394
Year: 2020
- Title: Investigating structure monitoring indicators for wooden species of Northern forests of Iran
Authors: S Babaie, M Bayat, M Namiranian, S Heidari Masteali
Journal: Journal of Wood and Forest Science and Technology
Volume & Issue: 25 (2), 65-80
Year: 2018